Nazih Kalo is a Staff Data Scientist based in New York with seven years of experience turning complex data into product-ready insights across startups and tech leaders. He has progressed from analytics and operations roles at Apple and Scale AI to leading data efforts at CyberConnect and now shaping advanced models and pipelines at Phantom. His background blends MS-level data science training from the University of Chicago with hands-on engineering—building large-scale NLP systems, knowledge graphs, and production data pipelines. Notably, he built a cognitive supply-chain advisor that processed 50M+ articles and a 1,200+ node supplier graph during an IBM collaboration, demonstrating strength in semi-supervised learning and information extraction. Comfortable at the intersection of product, ops, and ML, he consistently identifies operational savings and translates them into measurable business impact. He brings a pragmatic, cross-functional approach to deploying research into production at scale.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at University of California, Berkeley
University of Cambridge
International Baccalaureate Diploma, International Baccalaureate Diploma at American International School of Riyadh
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Chicago
App for retrieving social & market data on given cryptocurrency
Contributions:42 commits in 1 month
market-datareactcryptocurrencymarket
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